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Evolution of a transmission network with high proportion of renewable energy in the future

Author

Listed:
  • Zhang, Wei-qi
  • Zhang, Xin-yan
  • Huang, Shao-wei
  • Xia, Yu-kai
  • Fan, Xiao-chao
  • Mei, Sheng-wei

Abstract

Compared with other traditional energy sources, renewable energy, which results the less pollution and has numerous resources, is a significant factor in addressing the current issues of the serious environmental pollution and the resource depletion. Large-scale renewable energy integrated to the grid could bring change in both morphological structure and operation modes of energy transmission. Therefore, it is necessary to research the evolution mechanism of the future transmission network with a high proportion of the renewable energy. In this paper, an evolution framework of power system with high proportion of renewable energy is proposed. Firstly, a network equivalence and simplification based on power transfer distribution factors (PTDFs) is proposed, which can effectively simplify the decision-making process of evolution of large-scale power system. Then, an annual production simulation (8760 h) which takes into account renewable energy and load fluctuations is used to find out the bottleneck of the power grid. Based on the above methods, evolution strategy of power system with high proportion of renewable energy is studied for finding out optimal expansion strategy. A real power system of Zhejiang province is used as a test system. Test results demonstrate the feasibility of the proposed evolution framework.

Suggested Citation

  • Zhang, Wei-qi & Zhang, Xin-yan & Huang, Shao-wei & Xia, Yu-kai & Fan, Xiao-chao & Mei, Sheng-wei, 2017. "Evolution of a transmission network with high proportion of renewable energy in the future," Renewable Energy, Elsevier, vol. 102(PB), pages 372-379.
    • Handle: RePEc:eee:renene:v:102:y:2017:i:pb:p:372-379
    DOI: 10.1016/j.renene.2016.10.057
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    References listed on IDEAS

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    2. Okada, Masaki & Onishi, Terumi & Obara, Shin’ya, 2020. "A design algorithm for an electric power system using wide-area interconnection of renewable energy," Energy, Elsevier, vol. 193(C).

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